The Senior Marketing Manager will own the pipeline target for the SPIRE solution line by executing account-based marketing strategies and developing evidence-driven content. They will collaborate with cross-functional teams to generate qualified study opportunities and manage a discretionary program budget.
Develop and execute strategic sales plans to drive revenue by selling AI-driven clinical research solutions to large biopharma accounts. Build and maintain strong relationships with key stakeholders while collaborating with cross-functional teams to optimize the customer experience.
You will lead the redesign of legacy data pipelines into a modular, scalable platform while driving cross-team technical initiatives. You will also collaborate with AI, product, and integration teams to ensure high-quality data architecture and operational excellence.
The Provider Success Manager supports the strategic goals of health system partners to drive value and increase patient access to clinical research. They coordinate across internal teams to ensure successful product implementation, manage contracts, and advocate for customer needs in product planning.
Serve as a strategic scientific partner to biopharmaceutical sponsors by designing and executing Phase IV, observational, and real-world evidence research programs. Lead scientific discussions throughout the business development lifecycle to translate complex research needs into robust, integrated study solutions.
Design and execute evaluations for production LLM pipelines to ensure accuracy and quality in clinical data extraction. Build and maintain production-grade data models and a semantic layer to provide reliable business intelligence reporting across the organization.
Lead and expand Academic Medical Center partnerships by transforming foundational relationships into deep, enterprise-level collaborations. Drive internal alignment across sales, product, and engineering teams to ensure the long-term success and adoption of Paradigm's solutions.
Design and execute terminology libraries and source-to-target mappings to ensure data integrity across clinical research products. Develop scalable models to automate data mapping and contribute to the extension of healthcare ontologies and data standards.
Lead the design, development, and deployment of sophisticated ML and GenAI models to optimize clinical trial workflows and patient engagement. Collaborate with cross-functional teams to build scalable production-level pipelines and mentor junior engineers on ML best practices.
